Services

Clear analysis for decisions that depend on data

Squillions prepares economic assessments, official-data analysis, forecasts, data tools, assumption reviews and evidence plans for decisions that need traceable numbers.

Economics

Economic and socio-economic assessment

Analysis of benefits, costs, jobs, local effects and uncertainty. This includes reports for planning, investment, growth, regional development and policy decisions.

  • economic impact assessment
  • local value added and employment analysis
  • regional and sector assessment
  • clear treatment of what is new activity and what may shift from elsewhere

Data

Official-data analysis

Finding, checking and explaining data from public agencies, councils, administrative records, dashboards and custom extracts.

  • source review and data cleaning
  • source inventories and audit trails
  • matching data to the policy question
  • clear notes on data limits
  • data tables that decision-makers can read

Modelling

Forecasting and scenario testing

Models that show what may happen under different assumptions. The aim is to show the uncertainty clearly and explain what changes the answer.

  • population, economic and demand projections
  • alternative-case testing
  • growth assumptions
  • plain notes on confidence and limits

Tools

Data tools and dashboards

Web-based tools and repeatable outputs that help clients explore data, compare places, track change and brief non-technical audiences.

  • interactive data tools
  • regional profiles
  • monitoring reports
  • report-ready tables and figures
  • data outputs that can be maintained over time

Policy evidence

Data needs and evidence reviews

Work that turns policy questions into practical evidence needs. This is useful when the issue is known but the data pathway is not yet clear.

  • evidence plans
  • policy data requirements
  • review of available sources
  • advice on what can and cannot be answered

Review

Model checking and assumptions review

Independent checking of models, calculations and assumptions. This is useful when a result will be tested by a client, funder, regulator, board or panel.

  • calculation review
  • assumption testing
  • sensitivity checks
  • plain-English review notes

How the work usually runs

Start with the decision, then build the evidence

1. Start with the decision

Clarify what the client needs to decide, do or understand.

2. Find and test the evidence

Identify the data, check source limits, and separate official evidence from assumptions.

3. Build the model or analysis

Create the analysis needed for the decision, then test what changes the result.

4. Explain what it means

Write reports, briefings or tools that help decision-makers use the evidence.

Some projects need specialist input, such as legal advice, survey fieldwork, engineering, planning or subject-matter review. Squillions adds that input when the project needs it, while keeping the evidence trail and modelling assumptions clear.

Have a project in mind?

Send a short note to Nigel with the decision you need to support and the data you already have.